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» Graph-Theoretical Methods in Computer Vision
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ICPR
2006
IEEE
16 years 7 months ago
Finding Rule Groups to Classify High Dimensional Gene Expression Datasets
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
Jiyuan An, Yi-Ping Phoebe Chen
ICPR
2006
IEEE
16 years 7 months ago
Subpixel Alignment of MRI Data Under Cartesian and Log-Polar Sampling
Magnetic resonance imaging (MRI) allows numerous Fourier domain sampling schemes such as Cartesian and non-Cartesian trajectories (e.g. Polar, circular, and spherical). On the oth...
Hassan Foroosh, Mais Alnasser, Murat Balci
ICPR
2006
IEEE
16 years 7 months ago
Object and Scene Classification: what does a Supervised Approach Provide us?
Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurre...
Anna Bosch, Arnau Oliver, Robert Marti, Xavier Mu&...
ICPR
2006
IEEE
16 years 7 months ago
Defect detection in low-contrast glass substrates using anisotropic diffusion
In this research, we propose an anisotropic diffusion scheme to detect defects in low-contrast surface images and, especially, aim at glass substrates used in TFT-LCDs (Thin Film ...
Du-Ming Tsai, Shin-Min Chao, Yan-Hsin Tseng, Yuan-...
ICPR
2006
IEEE
16 years 7 months ago
Texture Segmentation Using Independent Component Analysis of Gabor Features
This paper proposes a novel method for texture segmentation using independent component analysis (ICA) of Gabor features (called ICAG). It has three distinguished aspects. (1) Gab...
Yang Chen, Runsheng Wang